Landing page — stats, demo grid, architecture overview, channel specs.
AI-Powered Grievance Systems for Worker Voice
Voice-first grievance collection that reaches workers regardless of literacy level, language, or technology access. IFC-compliant, multilingual, and cost-effective.
Interactive demonstrations—click through to explore how the system works
Experience what it's like to call in a grievance. Press the mic, watch the transcript appear, see it get categorized and routed, receive your case reference.
Try the Simulator →Input your workforce size and grievance volume. See projected improvements in accessibility, resolution time, and cost per grievance.
Calculate Impact →Six-phase implementation framework with interactive tracking. See what each phase involves, check off action items, track progress.
View Roadmap →See the privacy features in action: anonymization toggles, PII detection, encryption indicators. What "confidential" actually looks like.
Explore Privacy →All intake channels feed into the same processing layer and unified database
New channels can be added without modifying existing infrastructure. Categories, languages, and routing rules are configurable per deployment.
Technical details for planned integrations
Workers record voice messages on WhatsApp. System transcribes, translates (PT/SW→EN), extracts fields, sends confirmation with case reference. Async—works when convenient, not limited to call hours.
Menu-driven intake from any phone—no smartphone, no data, no app required. Dial *123#, navigate menus to select category and location, type brief description. Works on basic Nokia handsets.
Live conversation with empathic voice agent. Emotion detection adjusts tone. Can ask clarifying questions, handle complex cases. Best for sensitive grievances requiring back-and-forth.
Whether you're exploring options or ready to pilot, I'm happy to walk through how this would work for your specific context.